Label-free AI-driven analysis of chemotherapeutic cytotoxicity in glia

In this webinar join Jasmine Trigg, a scientist in the BioAnalytics group at Sartorius, to explore the benefits of integrating AI into live-cell image analysis workflows. She will also discuss the new Sartorius Incucyte^® AI Cell Health Analysis software module. The integrated software is powered by pre-trained neural networks and is a robust solution for label-free segmentation and Live/Dead classification of individual cells. Further, discover how this AI-driven approach can be utilized to assess cytotoxicity in glial cells and is amenable to the screening of therapeutic candidates.

Key learning objectives

• Learn about the benefits of AI-driven analysis
• Gain an overview of label-free cytotoxicity assays
• Explore case study data that supports the use of label-free assays within the field of neuro-oncology

Who should attend?

• Scientists performing cytotoxicity or compound screening assays.
• Individuals who desire to implement live-cell imaging into their workflow.
• Researchers involved in fundamental research and therapeutic development within the fields of oncology and neuroscience.

Certificate of attendance

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.